Affiliations: Research Laboratory on Computer Science’s Complex Systems ReLa(CS)2, University of Oum El Bouaghi, Oum El Bouaghi, Algeria
Correspondence:
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Corresponding author. Ahlem Meziani, Research Laboratory on Computer Science’s Complex Systems, ReLa(CS)2. University of Oum El Bouaghi P.O. Box 358, Constantine Road, Oum El Bouaghi, 04000, Algeria. [email protected].
Note: [1] This work is fully funded by the General Direction of Scientific Research and Technological Development-Algerian Ministry of Higher Education and Scientific Research DGRSDT/MERS.
Abstract: Effective risk management reaction improves the absorption of critical impacts on supply chains. Supply chain risk (SCR) sources, like control, process, demand, and supply, need to be identified, assessed, and mitigated to make rational decisions immediately. Late detection of a disruptive event can cause delays in handling risk. Since SCRs consist of complex, uncertain, and incomplete information, most of the provided risk assessment mechanisms cannot handle it in real-time. Hence, in this paper, we introduce NeutroMAS4SCRM, a framework incorporating real-time Multi-Agent Systems (MAS) with Neutrosophic Data Analytic Hierarchy Processes to best deal with the complexity, uncertainty, and vagueness of SCR management-related issues and which can hence help decision-makers adopt less risky decisions. In addition, the MAS technology contribution to SCR management is outlined through a comparative study among the most recent studies. In contrast, the proposed MAS for the supply chain is implemented under the JADE agent platform, where the FIPA-ACL-based message content is specified using a dedicated ontology. A simulation-based decision support system is used to assess the cost risk and its harmful effects and determine how well the proposed framework can help companies manage risks efficiently. The simulation has proven to reduce risk costs by about 85%.
